Job Description
Position: Senior Robotics AI Engineer
Function: AI Research & Development
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Mumbai
Employment Type: Full-time
Compensation: INR 9.5-53.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai research & development, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: Ph.D (AI)
Minimum Experience: 12 years
Core Competencies Required: Neural Network Architectures, Statistical Modelling, Natural Language Processing, Development, AI Research, Cloud Platforms (AWS/GCP/Azure), Deep Learning
Further Information:
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation has historically promoted from within for a majority of its senior and lead openings. Learning and certification support is available for tools and frameworks directly relevant to the role. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Function: AI Research & Development
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Mumbai
Employment Type: Full-time
Compensation: INR 9.5-53.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai research & development, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: Ph.D (AI)
Minimum Experience: 12 years
Core Competencies Required: Neural Network Architectures, Statistical Modelling, Natural Language Processing, Development, AI Research, Cloud Platforms (AWS/GCP/Azure), Deep Learning
Further Information:
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation has historically promoted from within for a majority of its senior and lead openings. Learning and certification support is available for tools and frameworks directly relevant to the role. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.